Selective detection of water pollutants using a differential aptamer-based graphene biosensor.
Selective detection of water pollutants using a differential aptamer-based graphene biosensor.
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DOI：
10.1016/j.bios.2018.10.047
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发表时间：
2019-02-01
影响因子：
12.6
通讯作者：
Lin Q
中科院分区：
文献类型：
--
作者：
Li Y;Zhu Y;Wang C;He M;Lin Q
石墨烯场效应晶体管（GFET）传感器是一种有吸引力的水污染物检测分析工具。不幸的是，这种传感器对由环境条件变化引起的非特异性干扰的敏感性阻碍了这种应用。结合差分设计是解决这一问题的合理选择，但由于制造工艺和材料特性的影响，这对于GFET传感器来说一直很困难。本文提出了一种差分GFET亲和传感器，用于选择性检测存在非特异性干扰的水污染物。这种差动设计可以最大限度地减少环境条件变化对测量精度的影响。此外，为了减轻制造工艺和材料特性变化的影响，我们为传感器的各个传感单元引入了一种补偿方案，以便在基于补偿的差分传感方法中考虑这些变化。我们测试了这种差分传感器用于选择性检测缓冲水和自来水中的水污染物17β-雌二醇。无论是否受到pH值变化的干扰，以及在存在未知干扰的自来水中，都可以获得一致的检测结果。这些结果表明，差分石墨烯亲和传感器能够有效地减轻非特异性干扰的影响，从而实现对水质监测的选择性水污染物检测。
Graphene field-effect transistor (GFET) sensors are an attractive analytical tool for the detection of water pollutants. Unfortunately, this application has been hindered by the sensitivity of such sensors to nonspecific disturbances caused by variations of environmental conditions. Incorporation of differential designs is a logical choice to address this issue, but this has been difficult for GFET sensors due to the impact of fabrication processes and material properties. This paper presents a differential GFET affinity sensor for the selective detection of water pollutants in the presence of nonspecific disturbances. This differential design allows for minimization of the effects of variations of environmental conditions on the measurement accuracy. In addition, to mitigate the impact of the fabrication process and material property variations, we introduce a compensation scheme for the individual sensing units of the sensor, so that such variations are accounted for in the compensation-based differential sensing method. We test the use of this differential sensor for the selective detection of the water pollutant 17β-estradiol in buffer and tap water. Consistent detection results can be obtained with and without interferences of pH variations, and in tap water where unknown interferences are present. These results demonstrate that the differential graphene affinity sensor is capable of effectively mitigating the effects of nonspecific interferences to enable selective water pollutant detection for water quality monitoring.
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作者：
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通讯作者：
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影响因子：
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